Emanuele Menegatti

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 13 citations into it
• Biomedical Engineering — 12 citations into it
• Human-Computer Interaction — 10 citations into it
• 3D Vision & Pose — 5 citations into it
• Signal Processing — 5 citations into it

Whom Emanuele Menegatti trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jaeyong Sung
2. Eric A. Wan
3. Morgan Quigley
4. Wonho Kang
5. Ferda Ofli

Papers from Emanuele Menegatti's perspective

Ordered by how strongly the researchers Emanuele Menegatti trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Histograms of oriented gradients for human detection
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• One-Shot Person Re-identification with a Consumer Depth Camera (2014) — 137 citations
• A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement (2019) — 394 citations
• 3D Flow Estimation for Human Action Recognition from Colored Point Clouds (2013) — 40 citations